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Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem

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Evolutionary Scheduling

Part of the book series: Studies in Computational Intelligence ((SCI,volume 49))

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Author information

Authors and Affiliations

  1. Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Dilip Datta

  2. Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Universidade do Algarve, Campus de Gambelas, 8000-117, Faro, Portugal

    Carlos M. Fonseca

Authors
  1. Dilip Datta
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  2. Kalyanmoy Deb
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  3. Carlos M. Fonseca
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Editor information

Editors and Affiliations

  1. Modeling Optimisation Scheduling and Intelligent Control (MOSAIC), Research Centre, Department of Computing, University of Bradford, West Yorkshire, BD7 1DP, Bradford, UK

    Keshav P. Dahal

  2. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, Singapore

    Kay Chen Tan

  3. Modeling Optimisation Scheduling and Intelligent Control (MOSAIC), Research Centre, Department of Computing, University of Bradford, West Yorkshire, BD7 1DP, Bradford, UK

    Peter I. Cowling

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Datta, D., Deb, K., Fonseca, C.M. (2007). Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem. In: Dahal, K.P., Tan, K.C., Cowling, P.I. (eds) Evolutionary Scheduling. Studies in Computational Intelligence, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48584-1_8

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  • DOI: https://doi.org/10.1007/978-3-540-48584-1_8

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